Analysis of Diagnosability

Carlos Alberto De Bragança Pereira and Luis Raul Pericchi

Journal of the Royal Statistical Society Series C, 1990, vol. 39, issue 2, 189-204

Abstract: The diagnostic probabilities of having a disease based on possible responses (indicants) to a clinical question (tests, signs or symptoms) are generally given without reference to their precision. Here, a Bayesian approach is used to provide a full analysis of the diagnostic probabilities, the weights of evidence provided by each indicant and the average weight of evidence (diagnosability) provided by the question. The method is extended to a sequence of questions in which a particular response may influence whether a subsequent question is asked. The role of imprecise diagnostic probabilities in decision making is discussed.

Date: 1990
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:39:y:1990:i:2:p:189-204

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